from typing import Dict, Any
import cv2
import numpy as np
from app.utils.logger import get_logger

logger = get_logger(__name__)


# 表格分类模块

class TableClassificationModule:
    _instance = None
    _initialized = False

    def __new__(cls):
        if cls._instance is None:
            cls._instance = super(TableClassificationModule, cls).__new__(cls)
        return cls._instance

    def __init__(self):
        if not self._initialized:
            logger.info("Initializing TableClassificationModule")
            self._initialized = True

    def classify(self, image_data: bytes) -> Dict[str, Any]:
        """
        分类表格类型

        Args:
            image_data: 图像字节数据

        Returns:
            表格分类结果
        """
        try:
            # 将字节数据转换为OpenCV图像
            nparr = np.frombuffer(image_data, np.uint8)
            img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)

            # 表格类型分类
            table_type = self._classify_table_type(img)

            # 表格属性分析
            table_attributes = self._analyze_table_attributes(img)

            return {
                "table_type": table_type,
                "attributes": table_attributes,
                "confidence": 0.88
            }

        except Exception as e:
            raise RuntimeError(f"Table classification failed: {str(e)}")

    def _classify_table_type(self, img) -> str:
        """分类表格类型"""
        # 模拟表格类型分类
        # 可能的类型: "simple", "complex", "mixed", "scattered"
        return "simple"

    def _analyze_table_attributes(self, img) -> Dict[str, Any]:
        """分析表格属性"""
        # 模拟表格属性分析
        return {
            "has_border": True,
            "has_header": True,
            "row_count": 5,
            "col_count": 4,
            "is_regular": True
        }
